> Markdown version of [/jobs/ext/2850702-agentic-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/2850702-agentic-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic-AI Software engineer - **Company:** AnaVation, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Databases, DevOps, Amazon DynamoDB, Github, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Node.Js, NoSQL, Tensorflow, Prometheus, SQL Databases, TypeScript, Reinforcement Learning, Google Cloud, Pytorch, ReactJS, Flask (Web Framework), Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Gitlab, Git, Fastapi, Kubernetes, Information Technology, Virtual Agents, Api Design, GPT, Natural Language Understanding, Software Version Control, Docker, Service Stack, Jenkins - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/0ce4a51e-644a-4c19-82df-b3dba847edc0/senior-ai-software-engineer ## About the Role * Clearance: Active TS/SCI within last 24 months * Education: BA/BS is Computer Science or another related field * Experience: BS + 10 Yrs or MS + 8 Yrs experience in computer science, AI, Machine Learning, or a related field. * 5+ years of experience in AI/ML development, with at least 2 years focused on Agentic AI or autonomous systems. * Proven track record of deploying production-grade AI systems, including framework experience such as AWS Bedrock. * Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications: * PhD in computer science, AI, Machine Learning, or a related field * Technology Stack: * Programming Languages: Python (primary), JavaScript/TypeScript (for API development), C++ (for performance-critical components). * Frameworks and Libraries: * Machine Learning: PyTorch, TensorFlow, JAX. * Reinforcement Learning: Stable-Baselines3, Ray RLlib, OpenAI Gym, or Gymnasium. * Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen, or CrewAI. * API Development: FastAPI, Flask, or Node.js. * Cloud Platforms: AWS (SageMaker, Lambda, Bedrock), Google Cloud AI, Azure AI. * Containerization: Docker, Kubernetes. * Version Control: Git, GitHub, or GitLab. * Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB). * DevOps Tools: CI/CD pipelines (Jenkins, GitHub Actions), monitoring tools (Prometheus, Grafana). * AI Models and Techniques: * Large Language Models (LLMs): Experience with models like LLaMA, GPT, BERT, or Grok for natural language understanding and generation, including leveraging AWS Bedrock for LLM deployment and management. * Reinforcement Learning (RL): Expertise in RL algorithms (e.g., DQN, PPO, SAC) and multi-agent RL systems. * Agentic AI Paradigms: * Knowledge of goal-driven agents, task decomposition, and autonomous planning (e.g., ReAct, Plan- and-Execute architectures). ## Description * Techniques like LoRA, QLoRA, or full fine-tuning for domain-specific applications, with experience using Bedrock for fine-tuning workflows. * Evaluation Metrics: * Familiarity with BLEU, ROUGE, perplexity, and custom metrics for agent performance. ## Related Videos - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)